Szczegóły publikacji

Opis bibliograficzny

Type-2 fuzzy logic controller for nonlinear object control / Agata NAWROCKA, Marcin NAWROCKI, Andrzej KOT // W: ICCC 2015 [Dokument elektroniczny] : proceedings of the 16th International Carpathian Control Conference : Szilvásvárad, Hungary, May 27–30, 2015 / eds. Ivo Petráš [et al.]. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2015. — 1 dysk optyczny. — Dod. ISBN 978-4799-7370-5. — e-ISBN: 978-1-4799-7369-9. — S. 334–337. — Wymagania systemowe: Adobe Reder ; napęd CD-ROM. — Bibliogr. s. 337, Abstr.

Autorzy (3)

Słowa kluczowe

non linear objectsimulation tests2-type fuzzy logic controllerrobot manipulator

Dane bibliometryczne

ID BaDAP90773
Data dodania do BaDAP2015-08-05
Rok publikacji2015
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
KonferencjaInternational Carpathian Control Conference 2015

Abstract

In the paper, the concept of using the type 2 fuzzy logic controller for nonlinear object control was presented. The first part provides general information about type 2 fuzzy logic. Next, information about the control object was presented. As a control object, the two degree of freedom robot manipulator was chosen. In this case there are two main problems. The first one is that the object is for a rehabilitation process so the quality of the control system is very important. The next problem is with the nonlinear dynamics with the uncertain parameters of a robot manipulator. The first part of the research consisted of simulation tests. For this part, a simulation model of robot manipulator was prepared. The dynamic equations were used to build a model in MATLAB. Fuzzy logic controller was built in MATLAB too. During this research, the main problem was suitable control quality. It is very important because control quality is connected with a rehabilitation process. The control algorithms enable movement realization and obtain a set position given by the physiotherapist. The results of simulation tests include comparisons between a traditional PID controller and a fuzzy logic controller (traditional fuzzy logic controller and type 2).

Publikacje, które mogą Cię zainteresować

fragment książki
#81773Data dodania: 17.6.2014
Fuzzy logic controller for rehabilitation robot manipulator / Agata NAWROCKA, Marcin NAWROCKI, Andrzej KOT // W: ICCC 2014 [Dokument elektroniczny] : proceedings of the 15th International Carpathian Control Conference (ICCC) : Velke Karlovice, Czech Republic, May 28–30, 2014 / eds. Ivo Petráš [et al.]. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2014. — 1 dysk optyczny. — Dod. ISBN 978-1-4799-3528-4. — e-ISBN: 978-1-4799-3527-7. — S. 379–382. — Wymagania systemowe: Adobe Reader ; napęd CD-ROM. — Bibliogr. s. 382, Abstr.
artykuł
#54926Data dodania: 23.11.2010
Self-tuning controller for nonlinear object / Agata NAWROCKA, Janusz KWAŚNIEWSKI // Diffusion and Defect Data – Solid State Data. Part B, Solid State Phenomena ; ISSN 1012-0394. — 2010 — vol. 164, s. 139–144. — Bibliogr. s. 144, Abstr. — ISBN 3-908451-84-1 ; ISBN-13 978-3-908451-84-6. — Mechatronic sytem and materials: materials production technologies : 5th international conference MSM 2009 : Vilnius, Lithuania, 22–25 October 2009 / eds. Andrejus H. Marcinkevičius, Algirdas V. Valiulis. — Switzerland : Trans Tech Publications Ltd, cop. 2010